LinkedIn engagement automator with GPT-4o/Claude, human review & multilingual comments

AI-powered knowledge assistant using Google Sheets, OpenAI, and Supabase Vector Search

Description An intelligent conversational AI system that provides contextual responses by combining chat history, vector database knowledge retrieval, and web search capabilities. How it Works (High-level steps) Message Detection: Google Sheets trigger monitors for new user messages and filters out already-processed entries Context Preparation: Extracts user message, retrieves chat history, and formats conversation context with system prompt Knowledge Retrieval: AI agent searches vector database

🧠 Flowatch 👁️ analyze and diagnose n8n workflow errors via OpenAI and email

Analyze and Diagnose n8n Workflow Errors Automatically via OpenAI and Email > ⚠️ This template is available on ☁️ Cloud & 🖥️ self-hosted n8n instances with the OpenAI node enabled. --- 👤 Who is this for? This workflow is designed for n8n developers, automation engineers, and DevOps teams who want to automatically capture and analyze workflow errors, and receive professional HTML-styled diagnostics directly in their inbox. --- 💥 What problem does this solve? Manually troubleshooting failed wor

Create a MailChimp contact from a LinkedIn Lead Gen Forms submission

Every time a new LinkedIn Lead Gen Forms lead is submitted, a new contact will be created in MailChimp. The template assumes your LinkedIn form collects these details: 1) First name 2) Last name 3) Email The template also expects your MailChimp list to have these fields aside from the email address field: 1) First name 2) Last name

Evaluate hybrid search for legal question-answering using Qdrant & BM25/mxbai

Evaluate Hybrid Search on Legal Dataset This is the second part of "Hybrid Search with Qdrant & n8n, Legal AI." The first part, "Indexing", covers preparing and uploading the dataset to Qdrant. Overview This pipeline demonstrates how to perform Hybrid Search on a Qdrant collection using questions and text chunks (contai

LinkedIn scraping, structuring, and messaging using PhantomBuster and GPT-4

Description This template automates the end-to-end process of extracting professional data from LinkedIn and converting it into a usable format—ideal for recruiters, SDRs, marketers, and growth teams. With a few simple configurations, you’ll be able to trigger the flow, scrape profiles, and use AI to extract name, headline, company, role, industry, and more—without writing a single line of code. Key Features 🔗 Launch PhantomBuster Agent using a profile URL ⏳ Wait 45 seconds for Phanto

AI-powered RAG Q&A chatbot with OpenAI, Google Sheets, Glide & Supabase

Automate AI-Powered RAG System with Contextual Q&A, Google Sheets Integration, and Glide Frontend—Powered by n8n, OpenAI, Supabase, and Google Apps Script. Tools & Services Used Glide (Frontend for user interactions) Google Sheets (Stores questions and answers) Google Apps Script (Forms + media upload handling) OpenAI (Embeddings + GPT-4 to rank and generate answers) Supabase (Optional for image hosting) n8n (Automation logic and backend glue) Workflow Overview This automation performs the follo

Post AI news to Telegram with Google Gemini and human approval

How it works This workflow automates the curation and publishing of AI news to a Telegram channel. It follows a four-stage process: Aggregation: Monitors RSS feeds from VentureBeat and The AI Blog on a daily schedule. Filtering: Merges the feeds and uses a code snippet to select only the single most recent, high-quality article. Summarization: Sends the article data to Google Gemini, which generates a professional, emoji-rich summary formatted for social media. Human-in-the

Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack

Summary This workflow monitors Kubernetes pod CPU usage using Prometheus, and sends real-time Slack alerts when CPU consumption crosses a threshold (e.g., 0.8 cores). It groups pods by application name to reduce noise and improve clarity, making it ideal for observability across multi-pod deployments like Argo CD, Loki, Promtail, applications etc. 👥 Who’s it for Designed for DevOps and SRE teams and platform teams, this workflow is 100% no-code, plug-and-play, and can be easily extended